Review on data-driven modeling and monitoring for plant-wide industrial processes

•Review on recent research status of data-driven plant-wide process modeling and monitoring.•Methodologies of commonly used data modeling procedures are introduced.•Various related methods and their application statuses are reviewed.•Extensions, opportunities, and challenges of the research are discussed.

Data-driven modeling and applications in plant-wide processes have recently caught much attention in both academy and industry. This paper provides a systematic review on data-driven modeling and monitoring for plant-wide processes. First, methodologies of commonly used data processing and modeling procedures for the plant-wide process are presented. Detailed research statuses on various aspects for plant-wide process monitoring are reviewed since 2000. After that, extensions, opportunities, and challenges on data-driven modeling for plant-wide process monitoring are discussed and highlighted for future research.